Group 1 - Nvidia is nearing a $20 billion investment agreement to participate in OpenAI's latest funding round, marking Nvidia's largest single investment to date, with CEO Jensen Huang stating "this is a very good investment" [1] - OpenAI's current funding round aims for a total of $100 billion, with Amazon planning to invest up to $50 billion and SoftBank considering a $30 billion investment, leading to an estimated valuation of approximately $830 billion [1] - This investment signifies a deeper integration between AI infrastructure and leading model developers, with capital increasingly concentrating among a few super players [1] Group 2 - Tencent has officially open-sourced its high-performance LLM inference core operator library, HPC-Ops, built from scratch using CUDA and CuTe, achieving a 30% improvement in inference QPM for the Mix Yuan model and a 17% improvement for the DeepSeek model [2] - In terms of single-operator performance, Attention shows up to a 2.22x improvement over FlashInfer/FlashAttention, while GroupGEMM outperforms DeepGEMM by up to 1.88x, and FusedMoE exceeds TensorRT-LLM by up to 1.49x [2] - The operator library is optimized for mainstream inference graphics cards in China, addressing high usage costs and hardware compatibility issues with existing mainstream operator libraries [2] Group 3 - Alibaba has open-sourced the Qwen3-Coder-Next model, featuring 80 billion parameters with only 3 billion active parameters, achieving over 70% problem-solving rate on the SWE-Bench Verified, comparable to models with 10-20 times more active parameters [3] - The model excels in long-sequence reasoning, complex tool usage, and recovery from execution failures, supporting a context of 256k and seamless integration with various IDE platforms like Cline and Claude Code [3] - A paper co-authored by Zhou Jingren and Lin Junyang has been published alongside the SWE-Universe framework, expanding the real-world multilingual SWE environment to nearly one million levels [3] Group 4 - The website rentahuman.ai has launched, allowing AI to hire humans for tasks such as delivery, event check-in, and on-site inspections through the MCP protocol or REST API [4] - Within 48 hours of launch, the platform had over 20,000 available human workers, allowing individuals to set their own hourly rates without the need for small talk, with tasks including photography, restaurant tasting, and package collection [4] - The site has sparked discussions on responsibility attribution, task authenticity verification, and the ethics of AI hiring humans, also seen as a demonstration of the MCP protocol's value [4] Group 5 - Mianbi Intelligence has open-sourced the MiniCPM-o 4.5 model, which features only 9 billion parameters and achieves full-duplex dialogue capabilities, becoming the first large model for "instant free conversation" [5] - The model employs an end-to-end multimodal architecture, utilizing time-division multiplexing and active interaction mechanisms to automatically decide whether to speak at a frequency of 1Hz, ensuring continuous perception and dynamic dialogue [5] Group 6 - Kunlun Tiangong has released the Skywork desktop version, which executes tasks locally without uploading to the cloud, capable of reading vast local files for summarization and new product generation while supporting parallel multitasking [6] - It supports switching between Claude Opus 4.5, Sonnet 4.5, and Gemini 3 Pro models, with over 100 selected skills built-in, covering Office suite, web pages, and image and video generation [6] - The application prioritizes Windows systems, offering higher quality image and video generation, with all operations conducted in a local virtual machine environment to ensure data security [6] Group 7 - Apple has released Xcode version 26.3, officially introducing "intelligent agent programming" support, allowing developers to directly call AI agents like Anthropic's Claude and OpenAI's Codex [7] - The integrated AI agents can browse and search the entire project structure, read, write, edit, and delete files, and automatically reference Apple's official documentation to resolve issues [7] - User feedback has been mixed, with some praising the experience while others report issues such as freezing, poor diff mechanisms, and instability in cross-file refactoring [7] Group 8 - The open-source music generation model ACE-Step 1.5 has gained support on ComfyUI, utilizing a hybrid LM+DiT architecture to generate a complete 4-minute song in approximately 1 second on an RTX 5090 [8] - The model supports over 50 language instructions and can run with less than 4GB of VRAM, achieving a music coherence score of 4.72, surpassing most commercial models [8] - It allows for LoRA fine-tuning for style personalization and will soon support music reconstruction and segment repair features, all running locally to ensure data security [8] Group 9 - Google has launched PaperBanana, establishing a multi-agent collaborative framework for generating paper illustrations, aimed at freeing researchers from time-consuming illustration tasks [9] - The system includes roles such as retriever, planner, modeler, visualization expert, and critic, achieving improvements in simplicity, readability, and overall aesthetic quality [9] - However, there are limitations in handling complex architectures, such as text distortion or connection errors, with plans to introduce code diffusion models for drawing and human-machine collaboration interfaces in the future [9]

Core Insights - The long video industry in China is facing significant structural adjustments due to slowing membership growth, high content costs, and the rapid expansion of short dramas and free models, compounded by AI's ongoing influence on production and distribution [2][5][6] Group 1: Industry Trends - The collaborative sharing of major themes in long video content is entering a validation phase, with platforms increasingly cooperating on significant projects [7] - Platforms are focusing on maintaining type-specific content and scheduling during key periods, ensuring that popular genres remain available to audiences [8][9] - AI has transitioned from a cost-cutting tool to a foundational capability for content production and commercialization, with platforms needing to establish stable AI systems [8][9] Group 2: Company Strategies - iQIYI is testing its amusement park model in Yangzhou, which will influence future expansions in other cities [10][12] - Tencent Video is exploring more ad-driven product forms, including potential ad-supported VIP packages and free short dramas [12][13] - Mango TV has successfully transformed its content strategy, focusing on younger audiences and increasing its user base significantly [15][17] Group 3: Financial and Operational Adjustments - Long video platforms are shifting towards sustainable financial structures, moving away from reliance on single hits or large-scale miracles [25][26] - Pricing adjustments are being made subtly through tiered benefits and service upgrades, rather than direct notifications [26][28] - The competition for local resources is intensifying, with long video platforms collaborating with local governments for long-term content and scene integration [30][32] Group 4: Content Development and Audience Engagement - The long video industry is recognizing the need to create deeper narratives and emotional connections, as audiences grow weary of short, fast-paced content [38][39] - The rise of mini-series and the need for innovative storytelling are becoming crucial as traditional long-form narratives face challenges [42][43] - The differentiation between slice viewers and full episode viewers is impacting content creation and marketing strategies [44][46] Group 5: Future Outlook - The long video sector must actively seek new monetization strategies in the AI era, including using platform content for training AI models [35][36] - The competition for AI talent is becoming critical, with platforms needing to focus on niche AI skills rather than competing for top-tier talent [64][66] - The industry is expected to continue evolving, with a focus on creating unique content experiences that leverage AI and enhance user engagement [70][72]

转自：新华财经 2月3日，国际权威咨询机构弗若斯特沙利文（Frost & Sullivan）发布《中国智慧零售市场追踪报告 （2025H1）》。数据显示，2025年上半年，中国智慧零售整体市场规模达107亿元人民币，腾讯以 25.3%的整体市场份额位列第一。 除整体市场份额领跑外，腾讯还在食品饮料及酒水、零售商超、运动鞋服等多个核心行业，以及解决方 案市场子项中斩获份额第一。其中，在零售商超赛道占比高达40.8%，居绝对领导地位。 依托腾讯大数据选址能力，瑞幸获得更加精准的点位推荐，快速筛选合适的空白市场，加速下沉市场的 开店扩张。腾讯云的弹性伸缩容能力，以及架构师的实时保驾护航，帮助瑞幸扛住一次次流量洪峰。 周大福基于腾讯企点营销云，打造全渠道会员平台，实现中港澳三地会员身份识别与权益互通，提升超 5000万会员的全渠道购物体验；助力好想来精细化运营1.5亿会员、驱动万店协同，实现分钟级"千人千 面"精准营销，促进会员活跃度与客单价双提升。 扎根产业场景，落地"好用的AI" 随着国家"人工智能+"行动的深入推进，AI的应用正从零散的单点尝试，走向系统化的全场景全链路渗 透。报告指出，AI已成为智慧零售降本增 ...

来源：基本常识 玄幻修真小说里经常会出现一种角色： 名门大派里某位长老的儿子，先天资质平平，靠着灵丹妙药和长辈的元气灌输把修为境界堆了上来，实 际战斗力很弱，未来成长空间也很有限。 这类角色在跟主角的战斗中一般活不过三招。 江湖传言：AI神功大成之后将碾压其他一切功法，决定着每一个门派的未来。 于是，春节修真比武大会之前，掌门安排大师兄微信手把手带小师弟元宝练功，期待元宝的修为境界和 战斗力都能迅速成长起来，比武时莫要丢了腾讯的脸面。 然而大师兄带练几天后发现，元宝小师弟这修炼的思路好像不太对啊…… 凡人修真，修的是对天道武道的理解，练的是对武技功法的掌握，这样修为境界和战斗力才能同步升 级。可元宝小师弟对这些稳扎稳打的修炼方法都不太在意，他满心想的都是： 大师兄你再给我输点元气，多一点，再多一点。 三天后，大师兄微信再也忍不住，给了小师弟元宝一记当头棒喝： 你这么修炼，迟早要废！ 虽然这么撂挑子在掌门那边不太好交代，但微信作为大师兄，多少还是有一些自主权的。更关键的点在 于，给小师弟灌输了几天元气，境界倒是升上来一些，可真实战斗力却没多大长进，这不是瞎耽误功夫 么？ 微信，腾讯上一代的天选之子，门派里最能干 ...

据证券时报报道，腾讯于今日陆续在各大应用商店推出旗下首款漫剧独立App"火龙漫剧"。据悉，该产 品由腾讯视频内部一支年轻团队完成，在启动筹备后，很快就实现上线。据介绍，"火龙漫剧"App融合 漫画分镜、AI技术、动态效果与短视频形态，播放内容当前均为免费，以竖屏信息流为主界面，这种 设计与当下主流的短视频平台相似，单集时长多在1-3分钟之间。 中文在线：多款作品登上抖音动态漫榜单前五，成为AI漫剧赛道的现象级爆款产品。目前，公司AI动 漫业务线已实现对2D与3D多种视觉形态的全面覆盖，公司拟与腾讯就动画微短剧的授权合作相关事宜 达成合作。 捷成股份：自研的AI智能体灵犀将重点应用于漫剧内容的规模化生产，打造自主可控、高品质、高效 率的AI动漫生产平台，助力AI漫剧生产的降本增效提质，已有20余部AI漫剧在制作中。此外，公司是 腾讯的影视版权的重要供应商。 *免责声明：文章内容仅供参考，不构成投资建议 *风险提示：股市有风险，入市需谨慎 证券时报指出，当下，AI漫剧作为短剧领域中的新兴细分赛道，正展现出巨大的商业潜力，吸引了腾 讯在内的一众互联网平台布局。除了腾讯等大厂外，一些新兴创业公司也在垂类内容上形成了差 ...

中芯国际 中国移动 中国海油 钧达股份 华虹公司 长飞光纤 分时图 日K线 周K线 月K线 114.84 -1.19 -1.03% 2.47% 1.65% 0.83% 0.00% 0.83% 1.65% 2.47% 113.16 114.12 115.07 116.03 116.99 117.94 118.90 09:30 10:30 11:30/13:00 14:00 15:00 15:30 0 34万 68万 101万 2月4日港股市场，北水成交净买入133.73亿港元，其中港股通(沪)成交净买入73.93亿港元，港股通(深)成交净买入59.8亿 港元。 北水净买入最多的个股是腾讯(00700)、阿里巴巴-W(09988)、南方恒生科技(03033)。北水净卖出最多的个股是中芯国际 (00981)、华虹半导体(01347)。 | 股票名称 | 买入额 | 卖出额 | 头实思额 | | --- | --- | --- | --- | | | | | 净流入 | | 腾讯控股 | 52.05亿 | 31.40 乙 | 83.45亿 | | HK 00700 | | | +20.66亿 | | 阿里巴巴-W | ...

Core Viewpoint - Tencent's WeChat has restricted the sharing of links related to the Yuanbao app's Spring Festival red envelope activity due to violations of platform rules, highlighting the tension between promoting AI applications and maintaining platform order [2][5] Group 1: Event Overview - On February 1, Yuanbao launched a Spring Festival campaign with a total of 1 billion yuan in cash, where users could earn chances to win prizes by completing tasks and inviting others [5] - WeChat received user complaints about Yuanbao's marketing tactics, which involved inducing users to share links excessively, leading to a restriction on Yuanbao's links within WeChat [5][8] - The restriction was implemented on February 4, coinciding with the first round of prize distribution for Yuanbao's campaign [5] Group 2: Company Strategy and Internal Dynamics - The incident reflects Tencent's internal struggles regarding AI strategy, with concerns about the balance between promoting AI products like Yuanbao and protecting the WeChat ecosystem [5][10] - Tencent's organizational structure allows for independent operation of its subsidiaries, which can lead to conflicts when unified efforts are needed for AI initiatives [10] - Recent organizational changes include the establishment of new AI departments and the appointment of a former OpenAI researcher to lead AI efforts, indicating a shift towards a more integrated approach to AI product development [10][11] Group 3: Market Position and User Engagement - Yuanbao's marketing strategy has been criticized for not establishing a strong user connection, as AI services are not yet seen as essential by most users [9] - Despite the challenges, Yuanbao achieved significant visibility, ranking first in multiple app categories on the Apple App Store on February 4 [8]

Core Viewpoint - The announcement by WeChat on February 4th regarding the restriction of the Yuanbao App's Spring Festival red envelope activity highlights the tension between promoting new AI applications and maintaining platform order, indicating a struggle within Tencent to balance innovation and user experience [1][4]. Group 1: WeChat's Actions - WeChat received user complaints about Yuanbao's marketing tactics, which involved incentivizing users to share links excessively, disrupting the platform's ecosystem and user experience [4]. - As a result, WeChat implemented measures to restrict Yuanbao's links from being directly opened within the app, effective immediately [4]. - The original sharing method for Yuanbao was altered to require users to copy and paste a code instead of sharing directly, complicating the user experience [7]. Group 2: Yuanbao's Marketing Strategy - Yuanbao launched a significant promotional campaign with a total of 1 billion yuan in cash for the Spring Festival, where users could earn chances to win prizes by completing tasks and inviting others [4]. - The campaign was criticized for being a "double standard" due to its reliance on social sharing for user engagement [1]. - Despite the initial excitement, the campaign faced immediate restrictions, coinciding with the first round of prize distribution [4]. Group 3: Tencent's Internal Dynamics - The situation reflects Tencent's internal challenges regarding AI strategy, with indications of organizational friction as different divisions vie for resources and attention [9]. - Tencent's CEO expressed a desire to replicate the success of WeChat's red envelope feature, but the current approach involves Yuanbao as a separate app trying to leverage WeChat's traffic [9]. - Recent organizational changes within Tencent aim to streamline AI initiatives, including the establishment of new departments focused on AI infrastructure and data [9]. Group 4: Market Position and User Perception - Yuanbao is viewed as a value-added service rather than a necessity, which may hinder its ability to establish a strong user relationship compared to WeChat's core functionalities [8]. - The limited three-day window for Yuanbao's promotional activities underscores the urgency and competitive nature of the AI market, where user habits and ecosystem dynamics are rapidly evolving [9].

Core Viewpoint - The article discusses the internal conflict within Tencent regarding the WeChat ecosystem and the impact of WeChat's ban on the Yuanbao red envelope activity, highlighting the challenges of balancing user experience and compliance with platform rules [5][12][13]. Group 1: Incident Overview - On February 4, WeChat blocked direct links to the Yuanbao red envelope activity, citing violations of its external link content management regulations related to "induced sharing" [5][10]. - Users must now perform cumbersome actions to access the red envelope, which disrupts the user experience and engagement [14]. Group 2: Yuanbao's Response - Yuanbao publicly acknowledged the issue and stated it is optimizing its sharing mechanism to enhance user experience [6]. - The company aims to ensure that the red envelope activity does not violate WeChat's guidelines while still attracting users [11]. Group 3: Internal Dynamics at Tencent - Tencent's internal discussions revealed concerns about the compliance of the Yuanbao red envelope activity with WeChat's rules, indicating a need for careful evaluation of user experience versus regulatory compliance [11]. - The company recognizes the importance of maintaining its credibility in managing third-party links while trying to innovate and attract users [12]. Group 4: Market Implications - The ban on Yuanbao's red envelope is seen as a significant setback for its 10 billion yuan promotional campaign, raising questions about the sustainability of user acquisition through such methods [13][15]. - The article suggests that Yuanbao must focus on product strength and user engagement beyond monetary incentives to retain users in a competitive landscape [15].

本文是由投资/产品专员而非分析师撰写的文章汇编。 它不构成研究报告，也不应被解释为研究报告，也不旨在提供 专业、投资或任何其他类型的建议或推荐。 CSIWM 个股点评 2026 年 2 月 4 日 腾讯控股 本文内容由 Kylie Kwok (郭凯欣) 提供 中信证券财富管理(香港) 产品及投资方案部 中国互联网行业 电话：(852) 2237 9250 / 电邮：wminvestmentsolutions@citics.com.hk 摘要 中信证券财富管理与中信里昂研究观点一致。根据中信里昂研究在 2026 年 2 月 3 日发布的题为《Games keep strong momentum》的报告，腾讯预计将继续交出稳健业绩，2025 年第四季度总收入和调整后 Ebit 同比大幅增长。 分析指出，网络游戏有望带来积极惊喜并实现同比增长，得益于常青游戏的稳健表现以及新爆款游戏《三角洲行动》 的推动。尽管宏观环境疲弱，广告业务预计仍将同比增长，主要受广告技术升级和交易增长的支撑。随着毛利率扩张， 利润预计将继续快于收入增长。分析指出，腾讯在 2026 年有望维持双位数的游戏增长和广告增长，并被视为全球拥 有最优 ...